ghstops.com

Five new language versions in a single weekend

Translating a broad SaaS platform into new languages is usually a heavy, manual IT project. It involves messy spreadsheets, back-and-forth with translation agencies and weeks of developer work just to get the text back into the system.

ghstops.com took a different route. A custom dual-AI localization pipeline was built for the service, producing five new language versions — French, German, Italian, Spanish and Swedish — in 11 hours of active work. AI API costs stayed under €20.

11
hours of active work
< 20 €
in API costs
12 800+
strings translated
5
new languages launched
The Traditional Approach

Messy spreadsheets, agency fees, and slow execution.

  • €12,000–€16,000 in translation and agency costs
  • 3–4 weeks of waiting and back-and-forth emails
  • Manual copy-pasting by developers
  • High risk of layout-breaking errors
The Snaips approach

Automated pipeline, minimal cost, fast release of each language version.

  • AI API costs under €20
  • 11 hours of active work
  • Automated integration directly into the software
  • Built-in AI proofreading + easy human review

Scale: Over 2 500 .resx keys, 12 800+ strings across six languages.

Blazor .NET 9 SignalR OpenAI Batch API Anthropic Claude EF Core
The Core Systems

The Core Systems

How the localization pipeline works — the admin stays in the driver's seat.

01

Instant multi-language translation

The admin selects the target language from the dashboard. The pipeline extracts the software's text and translates thousands of lines in seconds. The translation preserves the exact technical structure the software needs to run.

02

Dual-AI quality check

A second AI model cross-examines the first one's work — checking context, tone and accuracy, and flagging phrasing that might sound unnatural to a native speaker.

03

Admin review and publish

The admin stays in control. Before release, translations are reviewed in a clean interface — accept, edit or reject each one. Once approved, the new language version is pushed to production. No spreadsheets, no manual code editing.

The bottom line.

Traditional localization at this scale takes weeks of agency work or manual coding. The dual-AI pipeline compressed the work into a single weekend with under €20 of AI API costs — and the admin stayed in control throughout.

Interested in a similar localization approach for your product?

Questions?
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